MSc Data Science

 

 

 

Unicaf is a global delivery partner of the University of East London, UK, responsible for the recruitment, admission, enrolment and support of online learners to University awards approved for distance online delivery. On successful completion, graduates will receive a University of East London award.

UNICAF Logo

Course Summary

Designed to develop knowledge and research skills in Data Science, an understanding of the ecology within which a Data Scientist operates and professional skills in Data Science techniques, the programme also fosters reflective and analytic approaches in work-based practice and research.

Graduates are expected to be able to analyse and critically evaluate projects and research outputs in Data Science, and to have a critical understanding of the data value chain in professional settings.

Key Program Info

DEGREE
MSc
Awarded by University of East London (UK)
CODE
UEL-MDS
DELIVERY MODE
Fully Online
CREDITS
180
DURATION
2 – 4 years

Online delivery

Online delivery gives you the flexibility to plan around existing work commitments and progress in your career while you study. Complete and submit your coursework from the privacy and security of your own space.

Flexibility

Study at your own pace. Our flexible online courses allow you to study while arranging your daily tasks and career needs. Manage your time effectively by taking one module at a time. Focus on your learning and create your own study schedule.

Experienced Faculty

Learn from experienced academics who share innovative techniques, research, and knowledge on up-to-date topics. Be inspired, challenged, and encouraged by a team of professionals to reach your goals.

Virtual Classroom

Study online through our Virtual Learning Environment (VLE), study module material, participate in online discussions with faculty and students and access the online library 24/7 with its complement e-books and journals.

Entry Requirements

The entry requirements for admission are:

  • An accredited UK Honors Degree with a minimum of 2.2 standing in Computer Science or clearly related subject OR recognised international equivalent qualification (depending on country and level). Some professional qualifications in Computer Science or clearly related subjects at the appropriate level may also be considered.
  • Official transcripts from all universities, colleges and other post-secondary educational institutions attended.
  • English Proficiency: Students satisfy the English proficiency requirements provided they present a GCSE score with a minimum grade of “C” or IELTS (Academic) with an overall score of at least 6.0 (and no individual component lower than 5.5) or equivalent qualification. Students who do not acquire the above mentioned qualifications are required to take the online Academic English Placement Test. This is an IELTS-type test (Reading & Writing) where students need to score an overall 6.0 (with no individual component lower than 5.5).
  • Personal Statement (minimum 500 words) explaining how the programme of study will benefit the student’s career progression.
  • Up to date CV
  • Two references (academic or professional) listed on CV stating referee’s full name, contact details, and relationship to the applicant.

Applications from non-standard applicants are welcome and will be considered individually.

* Entry requirements may vary depending on the programme of study.

What You'll Study

  • Induction Module
  • Mental Wealth: Professional Life (Data Ecology)
  • Quantitative Data Analysis
  • Spatial Data Analysis
  • Advanced Decision Making: Predictive Analytics & Machine Learning
  • Data Science Dissertation